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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Data entry, data review, and GPS use. REQUIREMENTS:BS/BA degree in natural science field of study required. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography.
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At least 1 year Law Enforcement, Adult Education/Police Instructor, Crime/Data Analytics, Justice Information Systems or Learning Management Systems. Four-year Bachelor's degree or equivalent experience Criminal Justice, Sociology, Criminology, Police Science, Law, Philosophy, History, Art History, Humanities or related field.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Computer Science, Computer Engineering, Software Engineering, Information Technology, Information Systems, Computer Information Systems, Management Information Systems, Cybersecurity, Network Administration, Information Assurance, Data Analytics, Cloud Administration.
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Strategic Thinking: Ability to craft and execute a data strategy that integrates data analytics, data science, and machine learning to support business objectives and foster innovation.
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A&R has a unique vantage point in the firm's risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes, and procedures to deliver actionable risk insights.
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Modeling Expertise: Proven experience in predictive modeling, machine learning techniques, and developing robust data science models. Experience: 6+ years of experience in data science/analytics roles, with a minimum of 3+ years focused on data science/machine learning modeling.
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Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence.
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Required Skills for Data Science/Machine Learning Positions Bachelor's degree or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or IT.
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Serve as a subject matter expert with syndicated scan data, shopper insights, panel and retailer loyalty data. Proficient with MS Office as well as most current specialized software products pertaining to marketing analysis, data analysis, and reporting such as (but not limited to) IRI, Nielsen, Retail Link, and proprietary commercial data warehouse.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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We are seeking an experienced Senior Data Engineer with 8+ years of hands-on expertise in data engineering, with a focus on creating reliable, efficient, and scalable systems. Education: A Bachelor's degree in Computer Science, Engineering (B.Tech, BE), or a related field such as MCA (Master of Computer Applications) is required for this role.
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Offering a fully integrated platform of real estate services and innovative solutions to owners, investors, lenders and occupiers, Lincoln supports the entire real estate lifecycle across asset types, including office, life science, retail, industrial, data center, production studio, healthcare, government, universities, and mixed-used properties, throughout the United States, United Kingdom, and Europe.
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data science jobs in Dallas, MN, Arizona
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